This Data Analytics course introduces beginners to the fundamental concepts of data analytics through real-world case studies and examples. You’ll learn about project lifecycles, the difference between data analytics, data science, and machine learning; building an analytics framework, and using analytics tools to draw business insights.
The global data analytics market is expected to expand at a CAGR of 30 percent from 2017-2023 and reach the market valuation of $77.64 billion by the end of 2023. Skilled professionals will be eligible for more than 90,000 available jobs in data analytics globally.
Upon successful completion of the Intro to Data Analytics for beginners course, Simplilearn will provide you with an industry-recognized course completion certificate which has lifelong validity.
To obtain the Introduction to Data Analytics course certification, you must:
Data analysts play a unique role among the many data-centric jobs often found in today's businesses. A Data Analyst works closely with identifying patterns and trends in data sets, working alongside organizations within the business or the management team to establish business needs, define new data collection and analysis processes, and add real value to a company. Simplilearn’s Data Analyst Master’s program will give you sufficient insights into data analytics tools and methodologies to excel in your next role as a Data Analyst.
Data analytics is one of the major areas to explore in this digitalized world. To learn data analytics, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to take this training program and learn data analytics from industry experts. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.
Data analysis is a process of inspecting, cleaning, transforming and modeling data to discover useful information and support decision making to achieve business goals. There are various data analysis qualitative and quantitative methods and analytical or statistical tools used to extract the useful information and translate them into insights to make better business decisions,most of which are covered in this program.
Data analysis is the process of cleaning, transforming, and modeling data to find meaningful insights and make better decisions. Data analytics is a broad term that involves many diverse types of data analysis.
There are four different types of data analytics:
Most data analysts' job positions require a candidate to hold at least a bachelor’s degree in computer science, mathematics, statistics, or related field. It is, however, recommended to achieve a master’s degree in big data or data science or complete an online data analytics training course to enhance your credibility.
R, SAS, Python, and Apache Spark with Scala are the predominant languages used by Data Scientists and Data Analysts. Tableau, Excel, and QlikView are the most popular and effective analytics tools.
Simplilearn offers additional courses in Tableau and Business Analytics with Excel to enhance your learning and get you on the career path to becoming a Data Analyst.
All of our highly qualified Data Analytics trainers are analytics industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.
You can enroll for this Intro to Data Analytics for beginners course on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance.
Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our refund policy.
We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.
Here are some of the best advanced-level courses after completing the Data Analytics for Beginners course:
If you are looking for University partnered programs in Data Analytics, Simplilearn offers Post Graduate Program in Data Analytics that will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science, including Statistics, Python, R, Tableau, SQL, and Power BI.
Levels 5 & 6 616 Harris Street, Sydney Pyrmont NSW 2007 Australia